Hepatic stellate cell activation promotes alcohol-induced steatohepatitis through Igfbp3 and SerpinA12.

BACKGROUND & AIMS: Steatohepatitis drives fibrogenesis in alcohol-related liver disease. Recent studies have suggested that hepatic stellate cells (HSCs) may regulate the parenchymal cell injury and inflammation that precedes liver fibrosis, although the mechanism remains incompletely defined. Neuropilin-1 (NRP-1) and synectin are membrane proteins implicated in HSC activation. In this study, we disrupted NRP-1 and synectin as models to evaluate the role of HSC activation on the development of steatohepatitis in response to alcohol feeding in mice. METHODS: Mice with HSC-selective deletion of NRP (ColCre/Nrp1loxP) or synectin (ColCre/synectinloxP) vs. paired Nrp1loxP or synectinloxP mice were fed a control diet or the chronic/binge alcohol feeding model. Several markers of steatosis and inflammation were evaluated. RESULTS: ColCre/Nrp1loxP mice showed less fibrosis, as expected, but also less inflammation and steatosis, with lower hepatic triglyceride content. Similar results were observed in the synectin model. Hepatocytes treated with supernatant of HSCs from ColCre/Nrp1loxP mice compared to supernatant from Nrp1loxP mice were protected against ethanol-induced lipid droplet formation. An adipokine and inflammatory protein array from the supernatant of HSCs with NRP-1 knockdown showed a significant reduction in Igfbp3 (a major insulin-like growth factor-binding protein with multiple metabolic functions) and an increase in SerpinA12 (a serine-protease inhibitor) secretion compared to wild-type HSCs. Recombinant Igfbp3 induced lipid droplets, triglyceride accumulation, and lipogenic genes in hepatocytes in vitro, while SerpinA12 was protective against ethanol-induced steatosis. Finally, Igfbp3 was increased, and SerpinA12 was decreased in serum and liver tissue from patients with alcoholic hepatitis. CONCLUSION: Selective deletion of NRP-1 from HSCs attenuates alcohol-induced steatohepatitis through regulation of Igfbp3 and SerpinA12 signaling. LAY SUMMARY: Hepatic stellate cells are known for their role in fibrosis (scarring of the liver). In this study, we describe their role in the modulation of fat deposition and inflammation in the liver, which occurs secondary to alcohol damage.

Sphingosine-1-phosphate mediates a reciprocal signaling pathway between stellate cells and cancer cells that promotes pancreatic cancer growth.

Sphingosine-1-phosphate (S1P) is produced by sphingosine kinase 1 and is implicated in tumor growth, although the mechanisms remain incompletely understood. Pancreatic stellate cells (PSCs) reside within the tumor microenvironment and may regulate tumor progression. We hypothesized that S1P activates PSCs to release paracrine factors, which, in turn, increase cancer cell invasion and growth. We used a combination of human tissue, in vitro, and in vivo studies to mechanistically evaluate this concept. Sphingosine kinase 1 was overexpressed in human pancreatic tissue, especially within tumor cells. S1P activated PSCs in vitro and conditioned medium from S1P-stimulated PSCs, increased pancreatic cancer cell migration, and invasion, which was dependent on S1P2, ABL1 (alias c-Abl) kinase, and matrix metalloproteinase-9. In vivo studies showed that pancreatic cancer cells co-implanted with S1P2 receptor knockdown PSCs led to less cancer growth and metastasis in s.c. and orthotopic pancreatic cancer models compared with control PSCs. Pancreatic cancer cell-derived S1P activates PSCs to release paracrine factors, including matrix metalloproteinase-9, which reciprocally promotes tumor cell migration and invasion in vitro and cancer growth in vivo.

A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma.

PURPOSE: Given its heterogeneity and diverse clinical outcomes, precise subclassification of Barcelona Clinic Liver Cancer stage C (BCLC-C) hepatocellular carcinoma (HCC) is required for appropriately determining patient prognosis and selecting treatment. EXPERIMENTAL DESIGN: We recruited 2,626 patients with BCLC-C HCC from multiple centers, comprising training/test (n = 1,693) and validation cohorts (n = 933). The XGBoost model was chosen for maximum performance among the machine learning (ML) models. Patients were categorized into low-, intermediate-, high-, and very high-risk subgroups based on the estimated prognosis, and this subclassification was named the CLAssification via Machine learning of BCLC-C (CLAM-C). RESULTS: The areas under the receiver operating characteristic curve of the CLAM-C for predicting the 6-, 12-, and 24-month survival of patients with BCLC-C were 0.800, 0.831, and 0.715, respectively-significantly higher than those of the conventional models, which were consistent in the validation cohort. The four subgroups had significantly different median overall survivals, and this difference was maintained among various patient subgroups and treatment modalities. Immune-checkpoint inhibitors and transarterial therapies were associated with significantly better survival than tyrosine kinase inhibitors (TKI) in the low- and intermediate-risk subgroups. In cases with first-line systemic therapy, the CLAM-C identified atezolizumab-bevacizumab as the best therapy, particularly in the high-risk group. In cases with later-line systemic therapy, nivolumab had better survival than TKIs in the low-to-intermediate-risk subgroup, whereas TKIs had better survival in the high- to very high-risk subgroup. CONCLUSIONS: ML modeling effectively subclassified patients with BCLC-C HCC, potentially aiding treatment allocation. Our study underscores the potential utilization of ML modeling in terms of prognostication and treatment allocation in patients with BCLC-C HCC.

HMGB1 recruits hepatic stellate cells and liver endothelial cells to sites of ethanol-induced parenchymal cell injury.

Hepatic stellate cells (HSC) and liver endothelial cells (LEC) migrate to sites of injury and perpetuate alcohol-induced liver injury. High-mobility group box 1 (HMGB1) is a protein released from the nucleus of injured cells that has been implicated as a proinflammatory mediator. We hypothesized that HMGB1 may be released from ethanol-stimulated liver parenchymal cells and contribute to HSC and LEC recruitment. Ethanol stimulation of rat hepatocytes and HepG2 cells resulted in translocation of HMGB1 from the nucleus as assessed by Western blot. HMGB1 protein levels were increased in the supernatant of ethanol-treated hepatocytes compared with vehicle-treated cells. Migration of both HSC and LEC was increased in response to conditioned medium for ethanol-stimulated hepatocytes (CMEtOH) compared with vehicle-stimulated hepatocytes (CMVEH) (P < 0.05). However, the effect of CMEtOH on migration was almost entirely reversed by treatment with HMGB1-neutralizing antibody or when HepG2 cells were pretransfected with HMGB1-siRNA compared with control siRNA-transfected HepG2 cells (P < 0.05). Recombinant HMGB1 (100 ng/ml) also stimulated migration of HSC and LEC compared with vehicle stimulation (P < 0.05 for both HSC and LEC). HMGB1 stimulation of HSC increased the phosphorylation of Src and Erk and HMGB1-induced HSC migration was blocked by the Src inhibitor PP2 and the Erk inhibitor U0126. Hepatocytes release HMGB1 in response to ethanol with subsequent recruitment of HSC and LEC. This pathway has implications for HSC and LEC recruitment to sites of ethanol-induced liver injury.

Ten-day sequential therapy as first-line treatment for Helicobacter pylori infection in Korea: a retrospective study.

BACKGROUND AND AIMS: The eradication rate of proton-pump inhibitor-based triple therapy for Helicobacter pylori infection is low due to increasing antibiotics resistance, especially clarithromycin. Recently, it was reported in Europe that a 10-day sequential strategy produced good outcomes. The aim of this study was to assess the efficacy of sequential therapy as first-line treatment for eradication of H. pylori in clinical practice in Korea. MATERIALS AND METHODS: A total of 98 patients (mean age 55.2 years and male 47, female 51) with proven H. pylori infection received 10-day sequential therapy (20 mg of rabeprazole, and 1 g of amoxicillin, twice daily for the first 5 days, followed by 20 mg of rabeprazole, 500 mg of clarithromycin, and 500 mg of metronidazole, twice daily for the remaining 5 days). Eradication was evaluated 4 weeks later, after completion of treatment by 13(C)-urea breath testing. Eradication rates were calculated by intention-to-treat (ITT) and by per protocol (PP). Compliance and adverse events were also assessed in study group. RESULTS: The eradication rate of sequential therapy was 91.8% (90/98) by ITT and same result was reported by PP analysis (89/97). The study group consisted of 66 H. pylori associated gastritis, 7 gastric ulcer, and 25 duodenal ulcer patients (67.3%, 7.1%, 25.5%, respectively). Mild adverse events happened frequently (21.4%) but the treatment was well tolerable. The most common adverse event was a bitter taste (9.2%) followed by nausea and diarrhea (4.1%). CONCLUSIONS: Ten-day sequential therapy is found to effectively eradicate H. pylori infection as first-line treatment in Korea.